Papers
176,624 papers found
Completing Any Low-rank Matrix, Provably
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi et al.
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
Xiaojun Chang, Yi Yang, Eric Xing et al.
Complexity-Adaptive Distance Metric for Object Proposals Generation
Yao Xiao, Cewu Lu, Efstratios Tsougenis et al.
Complexity of Equivalence and Learning for Multiplicity Tree Automata
Ines Marusic, James Worrell
Component-Wise Modeling of Articulated Objects
Valsamis Ntouskos, Marta Sanzari, Bruno Cafaro et al.
Composite Self-Concordant Minimization
Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-Manifold Shapes
Mete Ozay, Umit Rusen Aktas, Jeremy L. Wyatt et al.
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James Wilson, Stephen Tyree et al.
Compression Artifacts Reduction by a Deep Convolutional Network
Chao Dong, Yubin Deng, Chen Change Loy et al.
Compressive spectral embedding: sidestepping the SVD
Dinesh Ramasamy, Upamanyu Madhow
Computational Complexity of Linear Large Margin Classification With Ramp Loss
Søren Frejstrup Maibing, Christian Igel
Computational Lower Bounds for Community Detection on Random Graphs
Bruce Hajek, Yihong Wu, Jiaming Xu
Computationally Bounded Retrieval
Mohammad Rastegari, Cem Keskin, Pushmeet Kohli et al.
Computing Similarity Transformations From Only Image Correspondences
Chris Sweeney, Laurent Kneip, Tobias Hollerer et al.
Computing the Stereo Matching Cost With a Convolutional Neural Network
Jure Zbontar, Yann LeCun
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
Bryon Aragam, Qing Zhou
ConceptLearner: Discovering Visual Concepts From Weakly Labeled Image Collections
Bolei Zhou, Vignesh Jagadeesh, Robinson Piramuthu
Conditional Convolutional Neural Network for Modality-Aware Face Recognition
Chao Xiong, Xiaowei Zhao, Danhang Tang et al.
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning
Yan Huang, Wei Wang, Liang Wang
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes et al.
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels
Xin Li, Feipeng Zhao, Yuhong Guo
Conditioned Regression Models for Non-Blind Single Image Super-Resolution
Gernot Riegler, Samuel Schulter, Matthias Ruther et al.
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama et al.
Confidence Preserving Machine for Facial Action Unit Detection
Jiabei Zeng, Wen-Sheng Chu, Fernando De la Torre et al.
Conformal and Low-Rank Sparse Representation for Image Restoration
Jianwei Li, Xiaowu Chen, Dongqing Zou et al.